Wind Power Forecasting With NOAA Data
Build a wind-power forecast model with local NOAA data, then test how well features like wind speed and direction predict output.
Build a wind-power forecast model with local NOAA data, then test how well features like wind speed and direction predict output.
Build a regression model that links air quality, dust, and rooftop solar soiling loss, then test how well it predicts power drop.
Test how channel geometry changes bubble separation in a resin microfluidic electrolyzer, and build analysis skills in fluid flow and efficiency.
Test how bending changes gel battery cycle life, build real discharge curves, and learn safe performance analysis for wearable energy storage.
Use PyBaMM and NASA battery data to model lithium-ion degradation, compare driving patterns, and build your battery simulation skills.
Test how herb species change microbial fuel cell output, and build skills in power measurement, plant comparison, and data analysis.
Measure microbial fuel cell voltage, compare compost leachate and soil, and connect community diversity to sustained power density.
Test how wave amplitude changes triboelectric output, then turn messy wave motion into clear power data with calibration and controls.
Build a simulation study that trains an RL controller to route solar, battery, and diesel power while cutting cost and emissions.
Build and test carbon electrodes from citrus peels, then measure charge-discharge behavior to compare capacitance and performance.